ArticleFrontiers in physiology2020
Diffusion Entropy vs. Multiscale and Rényi Entropy to Detect Progression of Autonomic Neuropathy.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 29 citations in OpenAlex.
- Bidirectional coupling of physiology and emotions reveals unique speaker-listener dynamics.Social cognitive and affective neuroscience · 2026Article
- Continuous bidirectional coupling of heart rate variability and emotions in dyad speaker-listener dynamics reveals unique interpersonal synchronization.Frontiers in systems neuroscience · 2026Article
- From visibility graphs to cognition.Frontiers in network physiology · 2026Article
- Advancing entropy analysis for heart rate variability: clinical insights for aging and diabetes.Frontiers in physiology · 2026Review
- Heartbeat signature for predicting motor and non-motor involvement among nonparkinsonian LRRK2 G2019S mutation carriers.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2025Article
- Principles Entailed by Complexity, Crucial Events, and Multifractal Dimensionality.Entropy (Basel, Switzerland) · 2025Article
- Temporal complexity of LVV-hemorphin-7 allosterism at the angiotensin II type 1 receptor assessed using entropy-based approaches.Computational and structural biotechnology journal · 2025Article
- Complexity synchronization analysis of neurophysiological data: Theory and methods.Frontiers in network physiology · 2025Article
- Complexity synchronization in emergent intelligence.Scientific reports · 2024Article
- Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function.Scientific reports · 2024Article
- Biophotons: New Experimental Data and Analysis.Entropy (Basel, Switzerland) · 2023Article
- Complexity and Entropy in Physiological Signals (CEPS): Resonance Breathing Rate Assessed Using Measures of Fractal Dimension, Heart Rate Asymmetry and Permutation Entropy.Entropy (Basel, Switzerland) · 2023Article
- ComsystanJ: A collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D.PloS one · 2023Article
- Crucial Development: Criticality Is Important to Cell-to-Cell Communication and Information Transfer in Living Systems.Entropy (Basel, Switzerland) · 2021Review
- Biophotons and Emergence of Quantum Coherence-A Diffusion Entropy Analysis.Entropy (Basel, Switzerland) · 2021Article
- Caputo Fractional Derivative and Quantum-Like Coherence.Entropy (Basel, Switzerland) · 2021Article
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Authors and funding
7 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We review the literature to argue the importance of the occurrence of crucial events in the dynamics of physiological processes. Crucial events are interpreted as short time intervals of turbulence, and the time distance between two consecutive crucial events is a waiting time distribution density with an inverse power law (IPL) index μ, with μ < 3 generating non-stationary behavior. The non-stationary condition is characterized by two regimes of the IPL index: (a) perennial non-stationarity, with 1 < μ < 2 and (b) slow evolution toward the stationary regime, with 2 < μ < 3. Human heartbeats and brain dynamics belong to the latter regime, with healthy physiological processes tending to be closer to the border with the perennial non-stationary regime with μ = 2. The complexity of cognitive tasks is associated with the mental effort required to address a difficult task, which leads to an increase of μ with increasing task difficulty. On this basis we explore the conjecture that disease evolution leads the IPL index μ moving from the healthy condition μ = 2 toward the border with Gaussian statistics with μ = 3, as the disease progresses. Examining heart rate time series of patients affected by diabetes-induced autonomic neuropathy of varying severity, we find that the progression of cardiac autonomic neuropathy (CAN) indeed shifts μ from the border with perennial variability, μ = 2, to the border with Gaussian statistics, μ = 3 and provides a novel, sensitive index for assessing disease progression. We find that at the Gaussian border, the dynamical complexity of crucial events is replaced by Gaussian fluctuation with long-time memory.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.